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@toomanybrians
toomanybrians / ai-second-brain-starter-prompt.md
Last active August 26, 2026 04:34
Starter prompt for your AI to interview you and set up an AI second brain / AI personal knowledge system

Build your own AI second brain starter prompt

A starter prompt you can drop into any AI platform to get going. Originally created in Feb 2026, updated in June 2026 to address latest changes to AI capabilities.

This was generated by my second brain by asking it to generate a starter prompt that others could use to build a similar system. Fork / branch / modify / share / try it!

See my related LinkedIn article which explains more about my experience using this, and the implications to knowledge work once everyone is working this way.


LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

ReVanced CLI Guide

Important

Looking for the Morphe version?

If you're starting from scratch or considering switching, I've also written a beginner-friendly Morphe CLI guide.

Morphe has a simpler CLI workflow, supports newer app versions and patches, and is updated frequently. >

@ikegami-yukino
ikegami-yukino / nfkc_compare.txt
Created December 30, 2013 19:32
Pythonのunicodedata.normalize('NFKC')で正規化される文字の一覧
# -*- coding: utf-8 -*-
import unicodedata
for unicode_id in xrange(65536):
char = unichr(unicode_id)
normalized_char = unicodedata.normalize('NFKC', char)
if char != normalized_char:
if len(normalized_char) == 1:
print u'[%d] %s -> [%d] %s' % (unicode_id, char, ord(normalized_char), normalized_char)
else:
@juanboterotech
juanboterotech / flower_whale.py
Created August 25, 2026 03:00
Python script that generates an animated flower visualization and exports it as a GIF and PNG using NumPy and Pillow.
import numpy as np
from PIL import Image
W = H = 400
BG = 9.0
STROKE_COLOR = np.array([255.0, 255.0, 255.0])
STROKE_ALPHA = 96 / 255.0
N_POINTS = 10_000
DT = np.pi / 80
@lukego
lukego / 0README.md
Last active August 26, 2026 03:59
CLIME installation instructions
@vexx32
vexx32 / sidebery.css
Last active August 26, 2026 03:59
CSS for Sidebery extension in Firefox to work as a collapsible sidebar
#root.root {--nav-btn-width: 28px;}
#root.root {--nav-btn-height: 28px;}
#root.root {--tabs-normal-fg: #d4d4d4;}
#root.root {--tabs-pinned-height: var(--tabs-height);}
#root.root {--tabs-close-btn-margin: 5px;}
#root.root {--tabs-activated-color-layer-opacity: 0.4;}
#root.root {--tabs-color-layer-opacity: 0.1;}
#root.root {--general-margin: 3px;}
#root.root {--tabs-height: 30px;}
#root.root {--tabs-indent: 5px;}